Sliding Mode Position Observer of PMSG Considering Salient-pole Effect by XIAO Lei, XU Junfeng, ZHANG Zhaoyang, WEN Yuliang, HE Yaping

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Bird population trend analyses for a monitoring scheme with a highly structured sampling design by Rieger, Mirjam R, Grüneberg, Christoph, Oberhaus, Michael, Trautmann, Sven, Parepa, Madalin, Anthes, Nils

Subjects: “…breeding bird monitoring, trend analysis, rolling surveys, spatial bias, observer effects…”
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Effects of internal tides on GNSS-A seafloor crustal deformation observation by Yusuke Yokota, Tadashi Ishikawa, Shun-ichi Watanabe, Koya Nagae, Yuto Nakamura, Eiji Masunaga

“…In this study, we quantitatively evaluated the impact of internal tides on GNSS-A observations by numerical reproduction and used data from the GNSS-A observation network around Japan to quantitatively identify the effect of internal tides on GNSS-A observations for the first time. …”
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EFFECTIVENESS OF OBSERVATION OF CHILDREN WITH BRONCHIAL ASTHMA AND EVALUATION OF THEIR QUALITY OF LIKE BY ALLERGOLOGIST by N.A. Ilyenkova, I.P. Artyukhov, L.V. Stepanova, A.V. Shul’min

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Effects of Crest Morphology on Lingual Concavity in Mandibular Molar Region: an Observational Study by Tansu Çimen, Neset Volkan Asar, Samir Goyushov, Onurcem Duruel, Tolga Fikret Tözüm

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Investigating whether socially acquired nocebo effects can spread to other treatments by Cosette Saunders, Winston Tan, Kirsten Barnes, Nicolas McNair, Ben Colagiuri

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Increase the effectiveness of radar detection systems by adapting to the spatial orientation of the object of observation by S. N. Yarmolik, M. V. Svinarskiy, A. S. Khramenkov, E. V. Zaiko

“…An important aspect of creation of effective recognition systems is the adaptation of radiolocation portraits to the corners of the spatial orientation of the observed object. …”
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The influence and lag-effect of temperature and precipitation on the incidence and mortality of tuberculosis, 2000–2021: an observational study by Qiao Liu, Qiao Liu, Yaping Wang, Min Liu, Min Liu, Yanlin Zhao, Jue Liu, Jue Liu, Jue Liu, Jue Liu

“…Climate change may influence TB burden through effects on human health, living conditions, and pathogen transmission, yet its long-term impact remains underexplored.MethodsThis observational study integrated data on temperature and precipitation obtained from NCEI/NOAA, TB burden from the Global Burden of Disease Study 2021, and socio-economic covariates from the World Bank open data platform. …”
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Federated target trial emulation using distributed observational data for treatment effect estimation by Haoyang Li, Chengxi Zang, Zhenxing Xu, Weishen Pan, Suraj Rajendran, Yong Chen, Fei Wang

“…Abstract Target trial emulation (TTE) aims to estimate treatment effects by simulating randomized controlled trials using real-world observational data. …”
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Interpretation of toxicological research data in establishing the no observed adverse effect level (NOAEL) for medicinal products by K. L. Kryshen, Ya. A. Gushchin, N. M. Faustova, S. V. Gushchina, Zh. Yu. Ustenko, A. E. Katelnikova, K. T. Sultanova, A. A. Matichin, V. A. Vavilova, Ya. G. Murazov, M. V. Miroshnikov, M. A. Kovaleva, D. V. Shubin, V. G. Makarov, M. N. Makarova

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Effect of clinician’s experience and expertise on the inter- and intra-observer reliability of the computed tomography-based classification systems in posterior malleolus fractures by Yiğit Umur Cırdı, Mehmet Demirel, Mahmut Enes Kayaalp, Ramazan İlter Öztürk, Muhammet Bozoğlan, Andrea Giordano Salvi

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The Effects of Telmisartan and Its Combinations on Office Blood Pressure: Results of Prospective Observational Study TAINA by O. D. Ostroumova, A. I. Kochetkov, F. T. Ageev, G. S. Anikin, E. Kh. Akhmetzyanova, E. I. Bezuglova, A. B. Bekoeva, N. Yu. Borovkova, N. G. Vinogradova, E. V. Gorbunova, A. A. Goryacheva, E. S. Zhugrova, O. A. Kislyak, S. M. Klyashev, V. P. Kuzmin, A. A. Lipchenko, G. V. Matyushin, E. A. Mikhailova, V. A. Nevzorova, A. G. Obrezan, T. A. Petrichko, M. M. Petrova, A. N. Reider, A. N. Repin, V. I. Sadovoy, N. P. Sanina, A. E. Skripchenko, R. I. Stryuk, I. V. Faiyance, L. A. Khaisheva, N. R. Khasanov, R. A. Khokhlov, E. E. Tsareva, A. L. Cherkashina, I. I. Shaposhnik, I. A. Shelestova, R. N. Shepel, E. V. Shikh, D. A. Yakhontov

“…The study was a non-intervention, prospective, multicenter, comparative, observational, epidemiological program, which was carried out in Russian medical institutions. …”
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Shifts in diurnal cycles of low and high clouds warm the climate: evidence from decadal satellite observations by Tingting Chen, Jinming Ge, Chi Zhang, Yanyan Wu, Qingyu Mu, Xinyi Han, Jing Su, Xiaoyu Hu, Zeen Zhu

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The effect of mechanical ventilation on respiratory muscle echogenicity in critically ill children: an observational cohort study by Marloes M. Ijland, Jeroen L. M. van Doorn, Axel Beukman, Johannes G. van der Hoeven, Joris Lemson, Leo M. A. Heunks, Jonne Doorduin

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Integrated morphological observation, metabolomics, and transcriptomics to investigate the effect of growth years on the quality of Atractylodes macrocephala Koidz by Xiaoxuan Cui, Yihan Wang, Guoliang Yu, Bowei He, Luqi Huang, Yanmeng Liu, Zhilai Zhan

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The effect of postoperative weight loss on difficult intubation in bariatric surgery patients: a prospective observational study by Bahar Uslu Bayhan, Kazım Ersin Altınsoy

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The effect of collinearity between observed and model derived training variables on estuarine algal species distribution models by Dante M.L. Horemans, Jennifer C. Lin, Marjorie A.M. Friedrichs, Pierre St-Laurent, Raleigh R. Hood, Christopher W. Brown

“…Biological complexity makes the construction of SDMs challenging because the collinearity between the environmental variables used to train the SDM may increase model parameter uncertainty. To analyze the effect of collinearity on SDMs, we (1) train SDMs for seven estuarine algal species commonly observed in the Chesapeake Bay (U.S.A.) using different levels of collinearity in the training information, (2) identify the environmental predictors, and (3) study their association with species presence using two statistical techniques (generalized linear models and regression trees). …”
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Evaluation of the Effectiveness of Vaccination of Russian Railways employees by N. A. Kostenko, E. A. Jidkova, A. A. Goriaev, I. V. Shangin, D. A. Khaltourina, Y. N. Matveyev, V. V. Ustyuzhanin, K. G. Gurevich

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Estimation of Observer Metameric Failure when Using Modern Displays by A. A. Motyko, N. A. Obukhova, K. A. Smirnov

“…The decision on the need to implement a color correction for the designed device is made based on the degree of errors on the found pairs of colors for a set of categorical observers.Results. It was shown that modern displays are already associated with the effect of observer metameric failure. …”
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Individual Differences in Subjective Image Quality Assessment: A Bayesian Mixed-Effects Modeling Approach by Simon Hviid Del Pin, Seyed Ali Amirshahi

“…Traditional approaches to subjective image quality assessment often rely on Mean Opinion Scores (MOS), which overlook individual differences among observers. This study addresses this limitation by introducing a novel experimental paradigm and Bayesian mixed-effects modeling framework, specifically Cumulative Link Mixed Models (CLMMs), to quantify these differences. …”
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